Secrecy outage performance analysis for energy harvesting sensor networks with a jammer using relay selection strategy

Document Type

Journal Article

Publication Title

IEEE Access

Publisher

Institute of Electrical and Electronics Engineers Inc.

School

Security Research Institute

RAS ID

29406

Comments

Vo, V. N., Nguyen, T. G., So-In, C., Baig, Z. A., & Sanguanpong, S. (2018). Secrecy outage performance analysis for energy harvesting sensor networks with a jammer using relay selection strategy. IEEE Access, 6, 23406-23419. https://doi.org/10.1109/ACCESS.2018.2829485

Abstract

In this paper, we study radio frequency energy harvesting (EH) in a wireless sensor network in the presence of multiple eavesdroppers (EAVs). Specifically, the sensor source and multiple sensor relays harvest energy from multiple power transfer stations (PTSs), and then, the source uses this harvested energy to transmit information to the base station (BS) with the help of the relays. During the transmission of information, the BS typically faces a risk of losing information due to the EAVs. Thus, to enhance the secrecy of the considered system, one of the relays acts as a jammer, using harvested energy to generate interference with the EAVs. We propose a best-relay-and-best-jammer scheme for this purpose and compare this scheme with other previous schemes. The exact closed-form expression for the secrecy outage probability (SOP) is obtained and is validated through Monte Carlo simulations. A near-optimal EH time algorithm is also proposed. In addition, the effects on the SOP of key system parameters such as the EH efficiency coefficient, the EH time, the distance between the relay and BS, the number of PTSs, the number of relays, and the number of EAVs are investigated. The results indicate that the proposed scheme generally outperforms both the best-relay-and-random-jammer scheme and the random-relay-and-best-jammer scheme in terms of the secrecy capacity.

DOI

10.1109/ACCESS.2018.2829485

Access Rights

free_to_read

Share

 
COinS